Algorithms in Python: Step-by-Step Problem Solving

Have you ever wondered how search engines find results in milliseconds, or how navigation apps calculate the fastest route? Understanding algorithms is the key to solving these complex problems and writing highly efficient code. This text-based course guides you through the core principles of algorithmic thinking, helping you transition from writing basic scripts to designing optimized, scalable solutions in Python. What you'll learn: 1. Learn the fundamentals of algorithmic complexity and how to measure efficiency using Big O notation. 2. Implement essential data structures such as linked lists, trees, graphs, and hash tables from scratch. 3. Master classic searching and sorting algorithms, comparing their performance in different scenarios. 4. Solve complex challenges using recursion, divide-and-conquer, and dynamic programming paradigms. 5. Practice translating abstract logic into clean, type-hinted Python code that is easy to read and maintain. 6. Apply step-by-step analytical methods to decompose and solve coding interview style problems. You will start with foundational definitions of algorithms and computational complexity before moving on to hands-on implementation. Each chapter presents conceptual explanations followed by written walkthroughs and practical code exercises. This course is designed for beginner to intermediate Python programmers who want to develop their problem-solving skills and learn computer science fundamentals without needing a formal degree. Begin your journey into algorithmic thinking and elevate your Python programming skills today.